The Agent Harness Workshop

the vibe

TrueFoundry Agent Harness: Build Production-Ready AI Agents AI agents are easy to demo and hard to operate. Once an agent touches real users, tools, data, budgets, and internal systems, the hard problems become routing, permissions, tracing, retries, evals, guardrails, and deployment. Join TrueFoundry and HackerSquad for an evening workshop on the "agent harness": the control layer around an agent that helps teams connect models and tools, observe every step, route and fallback when providers fail, manage cost and quotas, and enforce policies before an agent acts. TrueFoundry's AI Gateway, Agent Gateway, and MCP Gateway will frame the night. We will focus on the infrastructure patterns teams need when they move from agent prototypes toward production systems: model routing, tool access, MCP workflows, observability, reliable execution, budget controls, and governance. This is a technical builder session, not a passive product pitch. Bring a laptop and come ready to think through how your agent would behave under real production constraints. Why This Gets Hard in Production An agent harness has to coordinate models, tools, permissions, memory, context, retries, and fallbacks without turning into a brittle pile of one-off glue code. Production teams need traces, audit logs, usage visibility, cost attribution, and eval loops so they can understand what an agent did, why it did it, and what changed between runs. Scaling agents means managing quotas, budgets, latency, provider…